coxme
Mixed Effects Cox Models
Fit Cox proportional hazards models containing both fixed and random effects. The random effects can have a general form, of which familial interactions (a "kinship" matrix) is a particular special case. Note that the simplest case of a mixed effects Cox model, i.e. a single random per-group intercept, is also called a "frailty" model. The approach is based on Ripatti and Palmgren, Biometrics 2002.
- Version2.2-22
- R versionunknown
- LicenseLGPL-2
- Needs compilation?Yes
- Last release08/23/2024
Documentation
Team
Terry M. Therneau
Insights
Last 30 days
This package has been downloaded 11,143 times in the last 30 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 379 times.
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Last 365 days
This package has been downloaded 108,034 times in the last 365 days. Practically an academic rockstar! That's enough downloads to cause murmurs at international conferences. The day with the most downloads was Dec 06, 2024 with 911 downloads.
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Dependencies
- Depends2 packages
- Imports2 packages
- Suggests2 packages
- Linking To1 package
- Reverse Depends1 package
- Reverse Imports9 packages
- Reverse Suggests8 packages
- Reverse Enhances2 packages